Tungsten Fabric Data Sheet.docx

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Tungsten Fabric Data Sheet

Tungsten Fabric is an open source multicloud, multi-stack software-defined networking (SDN) and security platform. It is built to meet the critical performance and security standards of Tier One service providers and enterprises with global operations, whether they’re using public cloud, operating their own infrastructure, or both.

Tungsten Fabric is hardened, production-proven, massively scalable, and supported by a global community of developers and users. Service providers use it to accelerate deployment of new services, while enterprises use it for secure multi-stack and multi-cloud networking, enabling unified policy and connection management under diverse application platforms and across their data centers and public cloud deployments.

Tungsten Fabric integrates with popular orchestration platforms like Kubernetes, OpenShift, OpenStack, vSphere, supports bare metal integration and it works with public clouds like AWS, Google Cloud, Azure, and Alibaba.

Enterprises use Tungsten Fabric to accelerate value by simplifying migration of apps across public and private environments. It offers a virtual networking overlay that delivers virtual routing, bridging, and networking services over any existing physical or cloud IP network.

Tungsten Fabric (formerly OpenContrail) was launched in 2011 as Contrail, a proprietary product built by Contrail Systems, which was acquired by Juniper Networks in 2012. Juniper open sourced Contrail in 2013 as OpenContrail. In 2017, Juniper Networks moved the project to the Linux Foundation Networking to diversify the community of upstream developers and enterprise users, and the project was rebranded as Tungsten Fabric. Today, several community members offer distros, support, and extensions.

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Analytics

Tungsten Fabric has always-on, advanced analytics to provide deep insights into application and infrastructure performance. Centralized analytics nodes collect, store, correlate, and analyze packets, flows, and block security threats. It can be consumed through the northbound REST API or Apache Kafka, or analyzed with SQL-style queries.

Control

Tungsten Fabric control and management systems deliver highly available, container-based microservices that support live upgrades. This means Tungsten Fabric can orchestrate virtualized, automated networking for the most demanding use cases. Control nodes maintain a scalable, highly available network model by federating among at least three such nodes and peering with physical or virtual networking devices.

Configuration

Configuration nodes accept requests from the API to provision workflows like adding new virtual networks and endpoints. The software converts these high-level requests into low-level directions that map to the internal data model.

●Security and Multi-tenancy: The use of tenant domains and L3 VPNs to create virtual networks inherently provides a secure, segregated environment. Virtual networks can only talk to each other when policies provide for it.

●Gateway Services: Tungsten Fabric works to gateway the overlays on most physical or VM-based routing and switching equipment.

●High Availability: Active/active redundancy is built in to all control and management components.

●Plug-Ins for Cluster Orchestrators: Set up networks manually or with APIs. Plug-ins for third-party cluster orchestrators use the API to automate network and security in conjunction with workload orchestration for Kubernetes, OpenStack, OpenShift, and VMware vSphere.

Network Virtualization with Overlays and Underlays: Tungsten Fabric provides robust network virtualization based on internet-scale and proven protocols. Layer-3 IP overlays, L2 overlays and a multitude of data encapsulation standards allow it to work on any underlay network—public, private, or across wide-area networks.

Analytics and Visualization: Analytics are designed for large-scale ingestion and querying of structured and unstructured data via Cassandra. With the analytics dashboard and query interface or the analytics API, diagnose issues with real-time and historical information on application usage, infrastructure utilization, and network statistics.